[ncl-talk] Remove trend from a data having non-linear trend

[S Br]

Hi,
Thanks for your reply. I will try to use these function.
I understood you have suggested the polynomial fit function. Is there any
'exponential fit' function available to remove the non-linear trend.

SB

On Tue, Jun 27, 2017 at 3:09 PM, Dennis Shea <shea at ucar.edu> wrote:

> There is no explicit function to remove some unknown non-linear response.
>
> You must ascertain (eg: eye-ball) the 'shape' of the non-linear response
> and use a function: eg
>    http://www.ncl.ucar.edu/Document/Functions/Built-in/lspoly_n.shtml
> to generate some baseline. You can remove the non-linear response via
> (data-lspoly)
> Note: you should plot the output from lspoly_n to make sure it is
> appropriate.
>
> An example of using lspoly is here:
> http://www.ncl.ucar.edu/Applications/regress.shtml#ex6
>
>
>
> On Mon, Jun 26, 2017 at 10:20 AM, SBR climate <sbr.climate at gmail.com>
> wrote:
>
>> Hi NCL users,
>> I have generated an area averaged time series where the data is having
>> non-linear trend.Is there any function available to to remove the trend
>> from the time-series having non-linear trend.
>>
>> Thanks
>> SB
>>
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